Automated method for measurement of cerebral cortical thickness for 3-D MR images

Hidetaka Arimura, Takashi Yoshiura, Seiji Kumazawa, Hiroshi Koga, Shuji Sakai, Futoshi Mihara, Hiroshi Honda, Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


We have developed an automated method for measurement of the cortical thickness for three-dimensional (3D) MR images An brain region was segmented by use of a multiple gray level thresholding technique, and a white matter region was extracted based on a level set method. The cortical thickness was measured with normal vectors as a Euclian distance between white matter surface and cortical gray matter surface on a voxel-by-voxel basis. We applied the computerized method to high-resolution 3-D T1-weighted images of the whole brains from 21 clinically diagnosed Alzheimer's disease (AD) patients and 16 non-AD subjects. The average thicknesses in upper slices for AD patients and non-AD subjects were 3.4 and 3.7 mm, respectively, which indicated a significant difference (P < 0.005) by Student's t test, and the average thicknesses in lower thickness were 4.2 and 4.9 mm, which also indicated a significant difference (P < 0.001). Our preliminary results suggest that the MRI-based computerized measurement of gray matter atrophy is promising for detection of AD patients.

Original languageEnglish
Pages (from-to)19-20
Number of pages2
JournalInternational Journal of Computer Assisted Radiology and Surgery
Issue numberSUPPL. 7
Publication statusPublished - Jun 2006

All Science Journal Classification (ASJC) codes

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


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